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The LSST Dark Energy Science Collaboration (DESC) Science Requirements Document

Authors :
The LSST Dark Energy Science Collaboration
Mandelbaum, Rachel
Eifler, Tim
Hlo��ek, Ren��e
Collett, Thomas
Gawiser, Eric
Scolnic, Daniel
Alonso, David
Awan, Humna
Biswas, Rahul
Blazek, Jonathan
Burchat, Patricia
Chisari, Nora Elisa
Dell'Antonio, Ian
Digel, Seth
Frieman, Josh
Goldstein, Daniel A.
Hook, Isobel
Ivezi��, ��eljko
Kahn, Steven M.
Kamath, Sowmya
Kirkby, David
Kitching, Thomas
Krause, Elisabeth
Leget, Pierre-Fran��ois
Marshall, Philip J.
Meyers, Joshua
Miyatake, Hironao
Newman, Jeffrey A.
Nichol, Robert
Rykoff, Eli
Sanchez, F. Javier
Slosar, An��e
Sullivan, Mark
Troxel, M. A.
Publication Year :
2018

Abstract

The Large Synoptic Survey Telescope (LSST) Dark Energy Science Collaboration (DESC) will use five cosmological probes: galaxy clusters, large scale structure, supernovae, strong lensing, and weak lensing. This Science Requirements Document (SRD) quantifies the expected dark energy constraining power of these probes individually and together, with conservative assumptions about analysis methodology and follow-up observational resources based on our current understanding and the expected evolution within the field in the coming years. We then define requirements on analysis pipelines that will enable us to achieve our goal of carrying out a dark energy analysis consistent with the Dark Energy Task Force definition of a Stage IV dark energy experiment. This is achieved through a forecasting process that incorporates the flowdown to detailed requirements on multiple sources of systematic uncertainty. Future versions of this document will include evolution in our software capabilities and analysis plans along with updates to the LSST survey strategy.<br />32 pages + 60 pages of appendices. This is v1.0.2 of the DESC SRD, an internal collaboration document that is being made public and is not planned for submission to a journal. Data products for reproducing key plots are available on Zenodo, https://doi.org/10.5281/zenodo.1409815 ; see "Executive Summary and User Guide" for how to use and cite those products

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....700811fe3c265b9ce0b03f9dca8c4815